KR20130143144A - Operator, device, and platform-independent aggregation, cross-platform translation, enablement and distribution of user activity catalogs - Google Patents

Abstract

Implementations relate to the distribution of operator, device, and platform-independent aggregations, cross-platform transformations, enablement, and user activity catalogs. Users of cellular phones, personal computers, or other devices or services may register with a database that collects user transactions and other activities. A user may designate one or more groups of users to share collected activity data with them. Activity offerings may include recommendations, transactions, and other information generated when group members conduct retail or other activities. In one example, transmitted activity offerings may be automatically converted and configured based on the service operator and / or receiving device type. In another example, a user visiting a website may provide a drop-down list of context-sensitive sensing of transactions made at that site by members of the user's designated group (s) in the past. Can be. The platform may allow users to offer products, services, or content to each other transparently to each other.

Description

OPERATOR, DEVICE, AND PLATFORM-INDEPENDENT AGGREGATION, CROSS-PLATFORM TRANSLATION, ENABLEMENT AND DISTRIBUTION OF USER ACTIVITY CATALOGS}

This patent application is filed on July 14, 2008 by Kabir Kasargod, Tianyu D'Amore, Gabriel M. Da Silva, and Brian Minear, assigned to or under the same entity as this patent application, and named for invention. The "Method and Apparatus for Aggregation and Distribution of User Activity Catalogs," which is US Priority is claimed on Provisional Application No. 61 / 080,435, which is hereby expressly incorporated by reference herein.

The present invention generally relates to operators, devices, and platform-independent collections of user activity catalogs, and cross-platform transformations, and distribution.

The advent of the Internet, network-enabled cellular telephones, and other network devices has opened a new era of advertising and content delivery. One of the factors that spur growth in online advertising and other content delivery is the potential market potential for cell phones, the Internet, and other users. For example, there has been a surge in search-based advertising in which content related to a user's search topic is automatically inserted into selectable banner ads or other advertising media.

Despite the widespread adoption of cellular and internet advertising and other media, there are certain barriers to the effectiveness of network content delivery. One factor is that consumers do not tend to ponder network advertising content as much as they ponder the recommendations or experiences of intimate friends and other acquaintances. However, traditional advertising platforms and channels generally fail to take advantage of the market power of recommendations and experiences that peers inform.

Cellular and Internet providers and operators around the world, for example, browse, purchase, and download games, ringtones, wallpapers, screensavers, music, and other types of DRM-protected services or content. Provides services and devices that support it. DRM-protected content is generally purchased through a shopping catalog managed by the operator and made available to the user, either through the mobile or the operator's website. This catalog seeks to align and promote some pieces of content through others, generally based on a partnership of content developers and operators, regardless of user preferences. However, commercial catalogs themselves do not provide the reliability and personal contact that users can most easily relate to, and these catalogs are generally adapted by user preferences and / or user social group preferences and experiences. Become Therefore, these accumulated experiences may exist hidden from mutual members of the group. Inference based-catalogues and user recommendations have begun to be supported, but catalogs are still controlled by the operator, one-man recommendation tends not to be sufficient to cause significant revenue effects, and the catalogs themselves are It does not provide reliability or personality that can be easily associated.

It leverages the leverage effect of allowing users to accumulate their experiences and recommendations and share them freely with other network users, and also allows operators, merchants, and others to take advantage of these compounded content feeds. It may be desirable to provide platforms and technologies that monetize). In some respects, a member group may have a set of various handsets and other devices, thus creating and distributing these offerings to various group members on a context-sensitive and / or device-independent basis. It may be more desirable to provide the ability to do so.

In accordance with the present teachings, in one or more aspects, systems and methods are provided for an operator, a device, and a platform independent, cross-platform transformation, enablement, and distribution of user activity catalogs, wherein a cellular phone Users such as, the Internet, or other users can authorize their transactions and other activities to be captured in a combined database. In one or more implementations of the present teachings, systems and methods are provided for capturing a catalog of user activities or experiences for each registered user to participate in a shared database of activity history. In one or more implementations, each user in a set of registered users can be one or more of a cellular phone user, a personal computer user, a user of a networkable media playback device, or another user or subscriber.

In one or more implementations, user activity captured and recorded in a database may include, for example, a purchase, a license, or other transactional activity of the user. For example, a catalog of user activities may be presented to the user via the Internet and / or cellular phones, or by in-store or point-of-sale purchases or other retail sites in stores. It may include a record of purchases made by. A trading activity may be, for example, a purchase, rental, or book, music, movie, clothing, food, software, or recommendation for a offering and converted to be related to receiving a user and / or other products or services. It may include licensing of other media or content. In one or more implementations, provide users with the option of purchasing the same product, service, or content recommended in the offering to users who receive the offering or other information of recommendations from their registered group or other participating community. Can be. In one or more implementations, the option to purchase a recommended product can be a one-click interface, to allow convenient transactions by the user's linked "buddys", or other designated group (s). .

In one or more implementations, delivery of shared experience offerings can be generated and / or transformed on a device-independent or cross-platform basis such that a device is capable of displaying content for local presentation on that device. Without having to convert the format, various devices can be able to capture and upload new transactions, recommendations, and experiences and receive the same offerings. In one or more implementations, in other aspects, an indication of various user-click options may be generated on a context-sensitive basis, for example, recommending a friend for a purchase when the user accesses a video rental page or theater schedule page. To display movies.

In one or more implementations, content offerings received by friends or other users may be associated with non-purchasing activities, but the platform may nevertheless generate and convert that information into purchaseable activities. For example, a user may recommend any golf course and incorporate the recommendation into a catalog of their user activity. If the recommendation is located in the offering or distribution to the user's “buddies” or other designated group (s), selectable purchase options for golf clubs or other sports equipment may be inserted into this offering. have. In one or more implementations, selectable purchase options may also be inserted for offerings that already include user transactions and / or recommendations, including, for example, guaranteed offers from participating merchants or vendors. do. In one or more implementations, selectable purchase options that are not derived from user recommendations or experiences may be marked or designated as merchant-guaranteed options or recommendations.

According to one or more aspects, the platforms and techniques in accordance with the present teachings thereby allow a user to, on an optional basis, catalog their accumulated user activity in one or more designated groups or groups of other registered users. You can share or link. In one or more implementations, the designated group (s) of other registered users can include a social network or other defined user community. In one or more implementations, the user can be identified by credentials such as the user's cellular phone or Internet credentials, including identifiers such as a user name, password, cellular phone number or other account number. have. In one or more implementations, a user may have all users within a given group or groups set the access policies for the catalog, thereby allowing the same content from the catalog of the user's user activity, or different levels from the catalog of the user, An access profile can be set up that can receive types, or amounts. In one or more implementations, the designated group or groups may identify or view recent purchases by the user, such as recent music or video purchases or rentals, for example by viewing or finding the user's transaction history. In one or more implementations, members of the designated group (s) are provided with selectable options, such as buttons or boxes, selectable by a cursor or mouse click, or other dialogue or interface, such that the music, video, or purchase thereof. You can choose different content for. In one or more implementations, a database hosting a collection of catalogs of user activity may record the selection of material of purchase based on user clicks or user activity offerings, including recording loyalty points or other promotional data. For example.

To the accomplishment of the foregoing and related ends, one or more aspects may comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative features of the one or more aspects. These features are indicative, however, of but a few of the various ways in which the principles of various aspects may be employed, and this description is intended to include all such aspects and their equivalents.

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate aspects of the present teachings with description and serve to explain the principles of the present teachings.
1 supports a shared-catalog environment for platform-indendent aggregation, cross-platform transformation, enablement, and distribution of catalogs of user activity, in harmony with one or more aspects of the present teachings. Represents the entire network platform.
2 shows a network diagram of content distribution via a content service application programming interface (API), in harmony with one or more aspects of the present teachings.
3 shows a network diagram of content distribution through a catalog server that includes device-specific transformations, consistent with one or more aspects of the present teachings.
4A-4C are network diagrams that include device-specific transformations, transformations through search engines, and transformations through a database repository, consistent with one or more aspects of the present teachings.
5A and 5B show flow diagrams of user activity aggregation and distribution that include processing activity associated with catalog servers, consistent with one or more aspects of the present teachings.
6 shows a flow diagram of user activity aggregation and distribution including processing activity associated with a device, in accordance with one or more aspects of the present teachings.
7 illustrates an example interface displaying context-sensitive delivery of user-experienced content offerings, consistent with one or more aspects of the present teachings.
8 illustrates an example set of hardware and other resources in a mobile device in accordance with one or more implementations of the present teachings.
9 illustrates an example set of hardware, software, and other resources in a base station and associated components in accordance with one or more implementations of the present teachings.

Various aspects are now described with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. It may be evident, however, that such aspect (s) may be practiced without these specific details.

Aspects of the present teachings relate to operators, devices, and methods and apparatus for platform-independent distribution of user activity catalogs. More specifically, in one or more aspects, transaction records or experiences of users are collected for collection and selective distribution or for sharing with a designated group (s) of users within the entire set of registered users of the platform. Platforms and techniques are provided that a user can agree to be captured and stored in a shared database. Therefore, depending on the authorization of the user-provision, all users' transactions, ratings / recommendations, and other experiences and experiences may become available, be frank with one another, Recommendations and experiences can be utilized. Consistent with one or more implementations, offerings can be accessed, translated, and delivered on a cross-platform and / or operator, device, and platform-independent basis, allowing a variety of users to employ and employ various devices. May participate in the content streams of the. In one or more implementations, translations between the various formats for a given receiving device and / or supporting operator can be generated at the catalog server.

According to one or more implementations, in one aspect, a user may contribute to, or view or search a collection of catalogs of user activity, generally in a user's designated group (s). The designated group (s) of the user may include, for example, friends, acquaintances, or "buddy" lists, social networks, and / or other users in other user communities. In one or more implementations, the user can choose to import or merge an existing list of users from the social network into the user's designated group (s). In one or more implementations, other users who are not registered with a particular social network may be included in the user's designated group (s). For example, a user may choose to include users or groups of users from their work, school, or other association, community, or source, or choose to invite participation from any public Internet or other network users. Can be. In one or more implementations of the present teachings, the group (s) designated for the user can be freely modified by the user at any time. In one or more implementations, a user can have one group or multiple groups. If multiple groups are created, the user can, if desired, designate groups with overlap of users between separate groups. In one or more implementations, different designated groups or users in designated groups can transfer the same or different content offerings, access rights, or other sharing settings. In one or more implementations, groups can be established through platforms, carriers, or internet access service providers. In one or more aspects, a user may set up a set of access or permission controls to selectively opt in, opt out of sharing their trading activity and other data into a shared catalog environment, at the user's discretion. ), Filter, stop, or enable.

In this specification, the term “exemplary” is used to mean functioning as an example, case, or illustration. Any aspect or design described herein as "exemplary" is not necessarily described as being preferred or better than other aspects or designs. Rather, the use of the term example is intended to introduce concepts in a specific form.

In addition, the term "or" is intended to mean "or" in a comprehensive sense, rather than "or" in an exclusive sense. That is, if nothing else is specified or if it is not clear from the contextual information, the phrase "X employs A or B" is intended to mean any of the natural generic substitutions. That is, the phrase "X employs A or B" is satisfied by either of the following cases: X employs A; X adopts B; Or X employs A and B. Also, the articles "a" and "an" and the appended claims used in this specification generally mean "one or more" unless the context clearly indicates that nothing else is specified or is in the singular form. It should be understood that.

As shown in FIG. 1, in general terms, in accordance with one or more implementations, a user operates device 102 to access database 104 and catalog server 110 via one or more networks 106, and This allows participation in the overall shared-catalog environment 100. In one or more implementations, device 102 can be a cellular phone, personal computer, networkable media player, networkable PDA, desktop, laptop, or other wired, optically connected, wireless or other networked device, Or may include the same. The device 102 is designed as a cellular phone or other type of device 102 and includes a client 108 such as a software application configured to allow interaction with the database 104, the catalog server 110, and other resources. You can host it. Client 108 may be, or may include, for example, a client designed with the BREW ^® platform available from QUALCOMM Corporation of San Diego, California. Similarly, client 108 may be or include a client designed with environments such as Java ™ 2 Mobile Environment (J2ME), Wireless Application Protocol (WAP), or Mobile Widget environment. Client 108 may also be a personal computer software, such as a web browser or other application or plug-in software module for Windows ™, Linux ™, or other network-aware environment, or It may include. In one aspect, likewise, the client 108 can be, or include, for example, a device such as a cable connectable set top box. One or more networks 106 through which the device 102 and the client 108 or other associated hardware, software, or logic are mediated to communicate with the database 104 and other resources may be the Internet, or other public or private network. Or may include the same. In one or more aspects, network 106 may include one or more base stations 140, such as a cellular base station, or interface with one or more base stations 140 to communicate with wireless devices. In one or more implementations, a user can use more than one type of device 102 and / or client 108 simultaneously or at a time.

The catalog server 110 may maintain the database 104 or interface with the database 104. Database 104 may be a relational database or other data store that registers or stores catalogs of user activities, such as mobile or trading activities, that the user chooses to advertise to these designated group (s) of other users. In one or more aspects, the catalog server may likewise maintain a device database 132, which stores configuration data for different types of devices 102, clients 108, and / or other resources. May interface with the device database 132.

In one or more implementations, users can build their desired designated group (s) by mutually enumerating users who wish to join their group (s). 1 is a schematic representation of a designated group 302, a designated group 304, and a designated group 306, but any number, type, and arrangement of groups may be used. In one or more implementations, the designated group (s) for the user may also, or instead, be publicly available Facebook for leverage effect on any existing “buddy” network that the user holds via external social networks. It may be imported or merged from social networks such as ™ or other services. In one or more implementations, a user can designate all registered users in the shared-catalog environment 100 into their designated group, or specify subsets of the entire community as desired. In one or more implementations, the identity of the designated group (s) for each user can be stored in the database 104, or other data stores. In one or more implementations, users may choose to establish or share common groups, but in general, the designated group (s) for one user need not be the same as the designated group (s) for another user. In one or more implementations, a service that publishes a user's activities and offerings can be provided free of charge to the user. In an implementation, the database 104 may be integral with the catalog server 110, or in other implementations, the database 104 may be independent and / or physically separate from the catalog server 110. . In one or more implementations, catalog server 110, base station 140, device database 132, database 104, and / or other resources are located at a site operated by a carrier, operator, service, or other provider. Or may be located or hosted within one or more networks 106 or other locations.

The systems and methods for operator, device and platform-independent distribution of user activity catalogs of the present teachings allow carriers, merchants, content providers, and other vendors or participants to ensure that users are assigned to their designated group. (S) can introduce premium content to advertise. Premium content may include ringtones, wallpapers, as well as everyday content sold by offline trades and / or online retailers, or vendors, or merchants (eg, Wal-Mart, Amazon, eBay, etc.) and the like. Downloadable content such as applications, video clips, music, and the like. One of the potential sources of revenue for implementations of the present teachings may come from vendors that promote premium content in a catalog distribution environment. The vendor may be, for example, a wireless carrier, or a retailer, and may include them. According to one or more implementations, in one aspect, catalog server 110 can register and track the number of user-generated clicks for each item or service sold by a participating vendor, and user offerings Can impose a pre-determined rate on the vendor for downstream clicks on the vendor's items disclosed from.

In one or more implementations, the type of content delivered from or to the user is filtered according to the settings of the user-settings, and / or the network or networks on which they are supported, subscribed to, or operated on. Or can be set. For example, the user may set the user's received offerings and filter by the user's current location, such as a Global-Positioning System (GPS) location reported by the device 102 or the like. In these respects, the user may define a set of selectable purchase options that the user wants to receive to be located within a mile of the user's current location. In one or more implementations, the offerings or other content delivered to device 102 as described and included herein in connection with FIGS. 3 and 4 may be limited to specifications or limitations of the operator and / or specific device 102. Can be modified, or adjusted to match or to ensure compatibility with the user's service and / or device 102, such as to reduce the video resolution of content sent to device 102 or to perform other adjustments. It should also be noted.

In one implementation, for example, the digital content of the wireless carrier can be made visible or available only to the user selectively, if the user and members of the designated group (s) of the user belong to the same carrier. If the user and the designated group (s) belong to different carriers, the offers promoting the digital content of the different carriers can be filtered or otherwise adjusted to be excluded from the user's supply list. In one or more implementations, in these respects, only non-carrier-specific premium content offerings may be made visible or available to the user from the user's designated group (s). Other types and combinations of content filtering may also be possible. However, according to one or more aspects, as described herein, the delivery of content offerings can be made and filtered on an operator (or service) standalone basis, so that users through different support operators can have different catalog databases and user groups. May receive content offerings via the internet.

According to one or more implementations, in another aspect, as described herein (included below in connection with FIG. 6), a collection of websites 112 may be made available for user activity and / or related user supplies. It may be set to generate and give context-sensitive lists or menus of catalogs. Context-sensitive content offerings register a collection of websites 112 with the database 104 via the catalog server 110, accompanied by mappings from associated user activity and web addresses or other navigation information. Based on that, it can be generated. In one or more implementations, likewise shown in FIG. 1, the catalog server 110 may register the loyalty programs 114 to register and track the acquired challenge points, rewards, loyalty points, or other value. Communicate with a set of. The set of loyalty programs 114 may be hosted or held by third party providers such as merchants, vendors, retailers, or financial institutions, for example.

According to one or more implementations, in these respects, the logic of the catalog server 110, the database 104, and other infrastructure and catalog-sharing environment 100 allows users who exhibit common interests, for example, Can be configured to add each other to each other's designated group (s) as a "buddy", to show each other's catalogs, and to enhance and broaden their relevance and shared experiences over time. For storage of a user's catalog of user activity stored in database 104, each user may have a tracked number of pieces of content that the user has made publicly available in database 104. For each user, database 104, catalog server 110, and / or other software or logic sort the stored data hosted in database 104 to, for example, the highest number of content to share with the user. Identify users with and provide a list of users most similar to the user.

For example, a database 104 that can be sorted or reported can be created to display those users who go to restaurants that a user prefers or most visits very often. In one or more implementations, a like-minded list of users can be displayed to the user in a shared-catalog environment, for example, via the client 108 on the device 102. Then, as a member of the designated group (s) of the users sharing the catalog content, add like-minded users, show the buddy's catalog, and / or buy through or with like-minded users Options, such as options for doing so, may be given to the user. Likewise, the shared-catalog environment 100 of the present teachings can be used to facilitate joining purchase activities among multiple users, for example, via shared “wish lists,” gift registrations, or other information.

According to implementations, in a further aspect, the shared-catalog environment 100 of the present teachings may be extended to include retailers or other vendors in a designated group (s) of users. This expansion allows merchants' retail catalogs to expand recommended or available products, services, and content. In one or more implementations, merchants can join a specified group (s) of a user as a node or a virtual user. In this way, the user can add merchants to the user's designated group (s) and purchase products, services, or content through the merchant's catalog. In one or more implementations, in these respects, the user may retail through, for example, payment mechanisms such as payment through a user's credit card or other payment account in cooperation with a mobile banking account, operator billing, and / or participating merchants. Or complete the purchase of other items. In one or more implementations, a user may be encouraged to publish or broadcast a user's wish list items, as well as purchased items, if desired, via loyalty points from the owner or operator of the database 104 or other entity.

It should be noted that in one or more implementations, merchant catalogs, as well as records of purchase history, need not be captured or transmitted through device 102, which is essentially in the form of a cellular phone or personal computer, for example. For example, a retail store acting as a virtual user may store routine transactions on its data store or local data processing platform at another site, and may store transactions through one or more networks 106 (eg, the Internet, etc.). 104 or another data store. POS transactions captured in this manner can be made using cash or electronic payments, for example. In one or more implementations, each merchant participating can designate all of its existing account holders, consumers, or other subscribers, and within the shared-catalog environment 100 a designated group (s) of "buddies" or merchants As members of).

In one or more implementations, in another aspect, a user can set up or register to receive offers or distributions of a collection of catalogs of user activity, but refuse to capture his own trading activity for database 104. And / or publish the activity for other users. In one or more implementations, a user may adopt to capture and / or publish transactions on a lump sum basis and / or to capture and / or publish their transactions one at a time for each ongoing transaction. In one or more implementations, a user may employ to capture, retrieve, and publish one or more transactions at any time, including, for example, some specific time occurring concurrently with or after a transaction. In one or more implementations, a user can optionally adopt at any time to capture and publish only those transactions with one or more specific merchants, vendors, or content providers. In one or more implementations, the user adopts that their transaction or other activity is automatically captured and published for all available merchants, vendors, or content providers participating in or registered with the shared-catalog environment 100. can do. In another implementation, the user may choose to selectively capture and publish offline activities, such as transactions made at a physical store or other POS. A user in these respects may choose to add information links (eg, a Web Uniform Resource Locator, etc.) to a purchase or other transaction or to a store, merchant, or provider. If a user adds a merchant to the user's designated group (s), on the contrary, the user can show the merchant's catalog in a shared-catalog environment, for example, via a display on device 102.

After insertion of the user's activity into the user's catalog, the user's designated group (s) can now show the item (purchased item, wish list item, or the like) in the user's catalog. Members of the designated group (s) can then add these items to their own wish list, if desired, or purchase the items directly for or through the first user. In other words, transactions through the shared-catalog environment 100 may, via mobile banking services, provide any online payment institution such as a user's entered credit card, Paypal ™ (eg, Paypal ™, for example, a shared-catalog environment). May be fixed to the operator's or carrier's monthly or other billing through a credit card embedded in the cellular phone, or other payment or settlement techniques, if used. In one or more implementations, the owner or operator of database 104 may receive a revenue share for every purchase activity or other activity performed in a shared-catalog environment.

According to one or more implementations, in another aspect, in addition to or instead of allowing members of a designated group (s) of a user to individually browse a catalog of user activity for that user, sharing of the present teachings- The catalog environment can be set up to allow a user to broadcast or "blast" their catalog to a designated group (s) of the user. For example, in accordance with one or more implementations, in these respects, a user may automatically send a product, service, content, or other catalog recommendation to one or all of the user's “buddies”. In one or more implementations, the user may choose to receive this broadcast or blasted catalog from one of the users-specified group (s) in the designated group (s) of the user, one, several, all users or others. Flexibility to schedule may be provided to the user. In one or more implementations, the announcement of the broadcast and / or the broadcast itself may be displayed within a particular area of the homepage of the receiving users. In one or more implementations, this display includes a product, service, or content name or other identifier, a rating of the user broadcasting about the product, service, or content, and a link selectable by the receiving user to purchase or search for this item. can do.

In one or more implementations, a broadcast can relate to a particular product, service or content, a group selected from these items, or an entire catalog of user activity of a broadcasting user. If the broadcast is referring to a complete catalog of user activity, clicking on the associated link may take the receipt of the catalog of the broadcasting user. The receiving user may choose to ignore, store, delete or use the broadcast, for example, to purchase the product or go to the sending user's catalog. If ignored, in one or more implementations, the broadcast can be maintained without being deleted in the " blast " list that appears on the receiving user's home page. If deleted, the broadcast can be completely removed from the homepage of the receiving user. According to one or more implementations, in another aspect, the ability to create, store, and sort the ratings of catalogs of user activity is integrated into the database 104, catalog server 110, and / or other associated hardware, software, and logic. Can be. This rating system may be stored and managed, for example, in the catalog server 110 or other resources in the network. In one or more implementations, current details and associated ratings of the rating system and catalog of user activity can be displayed in the user's homepage on the web, on their mobile network, or on other sites, services, or locations.

According to one or more implementations, in another aspect, catalog server 110 and associated logic may consider location-based information in determining catalog information to be sent to a user. In one or more implementations, in these respects, recommendation data sent to a user may relate to location based user data, in addition to or instead of a product, content, or services. In one or more implementations, in these respects, a user can include an individual as well as other commercial entities such as merchants or retailers or corporations. The target user's location can be reported to the catalog server 110 via the device 102, for example via GPS positioning capabilities built into the cellular phone. In one or more implementations, when a user accesses or reaches a neighborhood or store, for example, if the merchant user is not part of the user's designated group (s) so far, for example, the retailer immediately identifies the user's designated group ( May be reminded by a notification on the device 102 that may be added as a member of the device. If the user has previously added a retail store or other site or entity to their designated group (s), the user will be reminded to show the merchant user's catalog to access coupons, discounts, or other promotions in the catalog. This notification and option for location-sensitive operation allows the user to conveniently expand the designated group (s) of the user, to include and inform location-based merchant users or services. The location-based discovery feature may add a merchant user to a designated group (s) of users, further adding real-time search capability for geographic based contextual information and recommendations. In one or more implementations, location-based discovery capabilities can also be used to inform individual users of their proximity to other individual users.

For delivery of content streams generated via the catalog server 120, for example, as shown in FIG. 2, according to one or more aspects, the device 102 accesses the database 104 and delivers the content. The request to initiate the call may be made via a content services application programming interface (API) 130. In one or more aspects, the content service application programming interface (API) 130 may be hosted at the client 108 of the device 102 and utilizes a predetermined set of function calls and / or other parameters. Thereby contributing to calling various resources available at or accessed through the catalog server 110. According to one or more aspects of one aspect, a request to upload transaction data to catalog server 110 or to receive content streams from catalog server 110 may include an interface of content service application programming interface (API) 130. As may be taken through, the device 102 and its client 108 need not be aware of all the details about the setting of user transactions and other data stored in the database 104. Device 102 and client 108, instead, simply request the delivery of content via catalog server 110 that can access device database 132 to identify the device type, operator or service identification, and / or The operating parameters required to communicate with the device can be identified.

In one or more aspects, as merely shown schematically, the inputs, parameters, and data moved to the content service application programming interface (API) 130 may include (associated user group 336, labeled user group 1). Advertising revenue data 308, billing data 310, user information activity 138, sign on, for example, as represented by or exchanged through a web portal as a catalog server 110 having a web server, etc. sign on data 314, consumer billing data 316, sign on data 320, and the like. In one or more aspects, as shown only graphically, the inputs, parameters, and data moved to the content service application programming interface (API) 130 are likewise associated with an associated user group (338, labeled user group Z). Sign-on data 324, billing data 328, operator billing data 334, and operator authentication, represented as being exchanged by or through a base station or other mobile platform). Data 330 and the like. In one or more aspects, catalog server 110 and catalog server 162 may communicate with resources and / or other resources, respectively, including, for example, associated database 104 and device database 132. In one or more aspects, two or more catalog servers 110 and 162 may also exchange message data 322 related to catalog activity between them. In one or more aspects, content service application programming interface (API) 130 may include or define or operate on other inputs, parameters, and data.

For example, in accordance with one or more aspects as shown in FIG. 3, excerpts of content offerings via content service application programming interface (API) 130 allow cross-platform transformations, and include a set of operators, devices, and various devices. Platform-independent delivery of content streams to, for example, devices are manufactured by different manufacturers, supported by different carriers, services or operators, devices have different display resolutions, and different connections Bandwidths and / or other operating parameters. In one or more aspects, as schematically illustrated in FIG. 3, a given service operator 340 (labeled operator A) may maintain a group of users and associated device types stored in the device database 132. If a first user (shown as user A1) uploads transaction data or requests content from a first device 352 (shown as device A1) associated with a first item (shown as item A1), The message may be communicated via catalog server 110 using a URL (shown as URL A1) to a first catalog 342 (shown as catalog A1) associated with the user, device, and catalog. When a second user (represented as user A2) wants to see or receive data, for example, captured by or associated with a first user (user A1), the second user, 2 A second item (denoted as item A2) associated with the second catalog 344 (denoted catalog A2) and passed to the second device 354 (denoted device A2) via a URL (denoted as URL A2). Receive data associated with the. In one or more aspects, when an exact match can be made between records in different catalogs of a given service or operator, the first item (Item A1) can be recognized the same as the second item (Item A2). As indicated in another aspect, matches or translations by comparison between various items, catalogs, search engines, database repositories, or other resources related to capturing and organizing user-generated catalog data As long as it can be performed or identified, other exchanges of data or offerings can include users (eg, user B1 with device 356 and user C1 with device 358) and separate catalogs (eg, Catalog 346 (shown in catalog B1) and catalog 348 (shown in catalog C1) supported by different operators).

More specifically, as shown schematically in FIG. 4, in one aspect, catalog server 110 in a given operator having multiple user catalogs is stored in database 104 or other data store (catalog A1). Item name keyword matching can be performed between entries in device-specific catalogs, schematically represented as catalog 360 and catalog 362 (labeled catalog A2). Thus, a user looking for recent transactions, including, for example, the keyword term "racing game," may have a large number of catalogs from various catalogs containing various other users and transactions, related to the purchase of a product or a rating of a product classification. Results may be received in or outside their group. Similarly, as shown, for example, in FIG. 4B, graphically represented by a search engine 364 (labeled search engine A) and a search engine 366 (labeled search engine B) via a number of operators. Through different operator search engines, an item name keyword match may be performed, for example, hosted in a catalog server for two or more operators or service providers. Thus, it is possible to perform a search over respective catalogs for the keyword term “golf clubs” and obtain matching results within or outside a registered member group of two or more users.

In one or more other aspects, for example, two or more operators or service providers, represented by database 368 (labeled database A) and database 370 (labeled database C), as shown in FIG. 4C. An item name keyword match may be performed across the operator database repositories for locating matches in repository records that match keyword terms in catalogs, trading stores, and / or other data files. In some aspects of the platform of the present teachings, in some aspects of the ability to access user transactions and related data histories via carriers, services, providers and / or operators as well as the ability to adapt content to device-specific requirements. According to the teachings and techniques, user activity records of various users operating various devices can be accessed universally and mutually, without the user having to manually reset for different operators or device types. Therefore, access to user activity offerings through content service application programming interface (API) 130 is transparent as a ubiquitous service rather than a dedicated resource available only within defined operator networks and / or specific device types. Can be performed.

5A and 5B show flowcharts of overall user activity capture and catalog generation and distribution, including processing activities associated with catalog server 110, in accordance with one or more implementations of the present teachings. At 502, processing can begin. At 504, the user is presented to the entire set of registered users for the shared catalog service, for example by receiving and validating user credentials from the database 104 to operate or participate in the shared catalog environment 100. Can be registered. At 506, the user's preferences and / or profile settings or other configuration data may be received, for example, by reminding the user of these settings or by importing these settings from another source. At 508, an identification of the designated group or groups of users may be received via the database 104, for example. In one or more implementations, some or all of the designated group (s) of users may be merged or imported from other sources, such as social networking services or sites.

At 510, user activity for a user may be transferred from the data stores associated with the online trading sites via manual input by this user or other users, or via other channels, networks, or modes. Can be captured through. For example, if device 102 is a cellular phone, transactions or other applications performed via the mobile web may be captured and sent to catalog server 110, database 104, or other destination. In addition, for example, in one or more implementations, a retail store or other POS site may sort transactions on a daily or other basis, and store records of transactions for users registered with the catalog sharing service of the present teachings. 110, database 104, or other destination. Activity data may be captured using other modes, channels, or techniques. At 512, a catalog of user activities for the targeted user is created, for example as an entry in the database 104. In one or more implementations, user setting settings for a user's catalog can likewise be received to set levels of access, such as to allow for different aspects of that user's catalog or other data.

At 514, the user's catalog may be collected, as desired, with catalogs of the user's designated group (s), and / or with the entire population of the set of registered users. At 516, distribution of the desired parts or components of the aggregated catalog or aggregated catalog may be initiated based on, for example, user-defined authentication and, where appropriate, filtering, sorting, discovery, or other processing of the aggregated catalog. Can be. A user can, for example, set up a user's personal catalog to be distributed to their designated group (s) as a whole, which distribution can be automatically generated by the catalog server 110. In one or more aspects, distributions or offerings of user activity may be, for example, a predetermined number of times, such as a fixed interval, an event-triggered number of times when a participating user makes or records a transaction, or another number or other Based on the conditions, it can be generated. At 518, an item keyword search is generated to locate an item within a given catalog of a given operator and / or across multiple catalogs, search engines, or repositories of different operators, where appropriate, a user or their group You can locate items and activities of interest to. At 520, content parameters for delivery to a receiving device or devices may be configured to access the device database 132, eg, to identify a video resolution for the receiving display screen. At 522, the generated distribution or offering of the user may be transmitted to the designated group (s) of the target user, if appropriate, by the setting settings adapted to the receiving device.

At 524, rewards, earned challenge points, loyalty points, or other value may be generated and, if appropriate, transferred or sent to the originating user of the offerings or content producing the downstream transaction or other activity. For example, catalog server 110 may communicate with a collection of loyalty programs 114 to determine reward points or other values associated with downstream purchases initiated or associated with a user's offerings or other distributed content. Can be. At 526, a calculation or record for cost-per-click (CPC) or offerings, associated links, or other content can be generated for the content / ad stream log. In one or more implementations, the content / ad stream log or other activity of clicks may be generated via catalog server 110 and directed to a carrier, content provider, or other operator or entity that participates in shared-catalog environment 100. Can be used to pay remuneration.

At 528, the aggregated set of catalogs of user activity may be updated to further reflect user activity, newly processed data, or received content by the one or more users to the database 104, or, where appropriate, Other updates or fixes are possible. At 530, processing may repeat, return to a previous processing point, jump to an additional processing point, or end.

6 illustrates overall user activity capture and catalog generation and distribution, including processing activity associated with device 102, in accordance with one or more implementations of the present teachings. At 602, processing can begin. At 604, access to an operator, network, or service may be initiated, for example, by a user powering on a mobile device or logging in to a website using a personal computer, and / or the device 102. Can be authenticated. At 606, user navigation data, such as a URL, user location confirmation, such as GPS location, and / or other user activity may be captured via device 102. At 608, user-initiated inputs, selections, uploads, or other data may be received at or via device 102 to transmit / receive user activity information 138. For example, a user can operate a mobile device keypad to select a user offering on a drop-down menu or other menu. At 610, user navigation, location, and / or other context-sensitive information can be monitored to create a context-sensitive menu 136 or other context-dependent grant to the content offering (s) and related information. have. At 612, the accessed content offering (s) may be granted via device 102, eg, via a graphical user interface that is granted on device 102. At 614, user inputs, detected user navigation activity, and / or detected user location confirmations may be updated, and where appropriate, updated content offering (s) resulting from the new user navigation and / or location information. Can be generated. At 616, processing may be repeated, returning to a previous processing point, jumping to an additional processing point, or ending.

According to one or more implementations from another aspect, for the activity offerings, for example, as shown in the aspect in FIG. 7, a collection of website 112 or other sources is established, such that Based on registering the set of s to the database 104 via the catalog server 110, it is possible to create and assign a context-sensitive menu 136 or other lists or menus of available catalogs of user activity. The presence or navigation of a user at the context-enabled or context-sensitive website via the device 102 may be detected, for example, by detecting a URL registered with or associated with the shared catalog environment 100. Once a user has made a career decision to that site, or in order to enable catalog sharing if the site has been accessed, a user career decision to a site within a collection of websites 112 may be requested. The activity of catalog sharing on participating sites requires the user to identify who they are using, for example, catalog-sharing credentials. Upon activity and identification of the user, the user may receive a collection of catalogs of user activity for their designated group (s) related to the website in a situation-sensitive format. For example, a situation-sensitive menu 136 of purchase of golf clubs or other sports equipment from a sports merchant made by members of their designated group (s) may be given to the user.

The context-sensitive menu 136 or other grant object or widget provides the user with the option to navigate the details of that activity of these members of their designated group (s), and / or to purchase the same item directly. You can give an option. In this manner, in one or more implementations that employ website-sensing, the device 102 is configured with client-side application programming interfaces (APIs) that interface with the client 108 or other resources on the website. User offerings and other options may be detected and activated. Corresponding server-side APIs may be used to allow access to the database 104 and distribution of offerings from the catalog server 110. In one or more implementations, when a user receives a context-sensitive offer or other content at a site within a collection of websites 112, the user clicks or selects a recommendation by a member of a designated group (s) of users. May be redirected to a link associated with the recommendation, such as a checkout page. In one or more implementations, websites based on their hosting of offerings on their site, for example based on cost-per-click (CPC), cost per mille (or thousand) impressions (CPM), or other basis Revenue distribution may be assigned to creators or operators of sites in the set of 112. In one or more implementations, user offerings or offerings that represent a recommendation, rating, or other activity from other users may be placed in a banner advertisement on a participating website or in other locations, formats, or media. . In one or more implementations, user-generated offerings can be treated as advertisements and tracked on a cost-per-click basis for the purpose of remuneration or compensation to the calling user or other users.

8 illustrates an example setup of hardware, software, and other resources of mobile device 102 in accordance with one or more implementations of the present teachings. Mobile device 102 receives at least one signal (eg, a mobile call initiation or other handshake, handshake response, mobile application data transmission, data event, data event response, handshake termination, etc.). An antenna 702 (eg, a transmitting receiver or group of such receivers including an input interface or the like), a receiver performing an operation (eg, filtering, amplifying, down-converting, etc.) on a received signal ( 704). Antenna 702 may also be coupled to transmitter 718 to transmit signals. The antenna 702 may transmit or receive a response to, for example, a handshake request, a data event request, or the like. The transmitted signals may be or include a collection of user activity information 138, and other data, as described herein. Antenna 702 and receiver 704 may also be coupled with demodulator 706, which may demodulate received signals and provide this demodulated information to processor 708 for processing. Mobile device 102 can further include a memory 710 that can be coupled to processor 708 and store data to be transmitted, received, and the like.

The processor 708 may analyze the user activity information 138 received by the antenna 702 and / or the user interface 724 of the mobile device 102, and / or the user activity information 138 or Other data for transmission by transmitter 718 via modulator 716 may be generated. In addition, the processor 708 can control and / or access one or more resources or components (eg, 706, 712, 714, 716, 718, etc.) of the mobile device 102. The processor 708 can execute a runtime environment 712, such as the BREW ^® runtime environment available from QUALCOMM, as well as one or more sets of applications 714 or other software, modules, applications, logic, code, and the like. Can be. In one or more aspects, the collection of applications 714 can include the client 108 and / or other applications or resources. The processor 708, in one or more implementations, communicates with a positioning module 726, such as a GPS (Global Positioning System) module or chip, to receive positioning-related information including a positioned location for the user. And processing. In accordance with the present teachings, the processor 708 may also communicate with the content service application programming interface (API) 130 to call catalog processing functions to execute function calls to extract user activity information 138. . Similarly, processor 708 couples with a user interface 724, such as another graphical user interface or graphical display, to graphics, video, call-related data, user activity offerings, and other as described herein. Information can be displayed.

9 is integrated into, or is held by, a catalog server 110 capable of communicating content streams and other data to and from one or more devices 102 and associated network components, in accordance with various implementations. Or an example set of hardware, software, and other resources that may be associated with it. The catalog server 110 is a receiver 810 that receives signal (s) from one or more devices 102 via a plurality of receive antennas 806, and for example the context-sensitive menu 138 or other catalog-. The transmitter 822 may include, access, or communicate with, for example, a transmitter 822 that transmits or communicates with one or more devices 102 via the transmit antenna 808 to transmit the relevant data. Receiver 810 may receive information from receive antenna 806 and may be operatively coupled with a demodulator 812 to demodulate received information including, for example, user activity information 138. The processor 814 can analyze the demodulated signals provided by the demodulator 812. The processor 814 is further coupled to a memory 816 that can store one or more applications 818 that can execute, support, facilitate, and / or participate in user catalog activities as described herein. Similarly, processor 814 can generate and distribute user activity catalog information by communicating with catalog manager module 826 to process user activity information 138 and other data, as described herein. The processor 814 also communicates with a network interface 824 such as Ethernet or other wireless, optical, or wireless interface to communicate with other network links or resources, such as the database 104 and the device database 132. Can communicate. In one or more implementations, resources such as processor 814 and others can be hosted in catalog server 110, or optionally at base station 140 and / or at other servers, wireless servers, or other resources. Can be hosted. In one or more embodiments, processing, storage, and other resellers may be distributed and located away from or separate from the catalog server 110.

The above description is exemplary, and variations in construction and implementation may occur to those skilled in the art. Various example logics, logic blocks, modules, devices, and circuits, including, for example, personal computers, cellular phones, media playback devices, and servers, are disclosed herein. As described in connection with the implementations, a general purpose processor, digital signal processor (DSP), application specific integrated circuit (ASIC), FPGA (field) designed to perform the functions described herein programmable gate array) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, or may be implemented or performed. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors, in conjunction with a DSP core or any other such configuration. In one or more example implementations, the functions described may be implemented in hardware, software, or a combination thereof. If implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. The storage medium may be any available media that can be accessed by a computer. By way of example, and not by way of limitation, such computer-readable media may be any form of RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or instructions or data structures. It can include any other medium that can be used to carry or store the program code and can be accessed by a computer. Also, any connection is suitably referred to as a computer readable medium. For example, using wireless technologies such as coaxial cable, optical cable, twisted pair, digital subscriber line (DSL), or infrared, wireless, and microwave, the software can be used from a website, server, or other remote source. When transmitted, coaxial cable, optical cable, twisted pair, DSL, or wireless technologies such as infrared, wireless, and microwave are included in the definition of the medium. As used herein, disks and disks include compact discs (CDs), laser discs, optical discs, digital versatile discs, and floppy disks. , And blu-ray discs, where typically a disk duplicates data magnetically, while a disk copies optically using lasers. Combinations of the above should also be included within the scope of computer-readable media. The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other type of storage medium known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

The techniques described herein may be used for various wireless communication systems such as CDMA, TDMA, FDMA, OFDMA, SC-FDMA, and other systems. The terms "system" and "network" are often used interchangeably. A CDMA system may implement a radio technology such as Universal Terrestrial Radio Access (UTRA), cdma2000, and the like. UTRA includes Wideband-CDMA (W-CDMA) and other variants of CDMA. Cdma2000 also covers IS-2000, IS-95, and IS-856 standards. The TDMA system may implement a radio technology such as Global System for Mobile Communications (GSM). An OFDMA system may implement radio technologies such as Evolved UTRA (E-UTRA), Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, Flash-OFDM, and the like. . UTRA and E-UTRA are part of Universal Mobile Telecommunication System (UMTS). 3GPP Long Term Evolution (LTE) is a release form of UMTS using E-UTRA that employs OFDMA on the downlink and SC-FDMA on the uplink. UTRA, E-UTRA, UMTS, LTE, and GSM are described in documents from an organization called "3rd Generation Partnership Project" (3GPP). Cdma2000 and UMB are also described in documents from an organization called “3rd Generation Partnership Project 2” (3GPP2). In addition, these wireless communication systems often use peer-to-peer, unpaired unlicensed spectrum, 802.xx wireless LAN, Bluetooth and any other short or long range wireless communication technologies. -to-peer) (eg, mobile-to-mobile) ad hoc network systems.

In another example, implementations in which a collection of catalogs of user activities are stored in a single database 104 have been described, but in one or more implementations, catalogs and other data of user activities may be stored in multiple data stores. have. Other resources described as singular or described as integrated can be plural or spread out in one or more implementations, and resources described as multiple or spread out can be combined in one or more implementations. . Accordingly, the scope of the present teachings is intended to be limited only by the following claims.

Claims (67)

A method of generating content offerings from a shared database of user activity, the method comprising:
Capturing a user-specific database catalog of user activity information for each user in the set of users, wherein each user-specific database catalog of user activity information in the set is one of services and products traded by an associated user Capturing, the commercial information characterizing an anomaly or comprising one or more of the services and products of interest to the associated user;
Aggregating user-specific database catalogs of user activity information for the collection of users in a database;
Belonging to at least one user group in the set of users, from the aggregated user-specific database catalogs, in response to designation of one or more keywords characterizing a product or service from a first user with a user-initiated keyword search. Selectively extracting user activity information matching the one or more keywords from the commercial information of one or more of the user-specific database catalogs of one or more other users, and
Converting the selectively extracted user activity information into a product or service recommendation for delivery to the first user. The method of claim 1,
Wherein the converting is based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. How to produce water. The method of claim 1,
Wherein the first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. The method of claim 1,
The user activity information captured within the user-specific database catalogs includes at least one of transaction activity, user service experience information, user content consumption information, user location information, user recommendation information, or other user activity information. How to create content offerings. The method of claim 1,
The user activity information captured within the user-specific database catalogs is at least substantially real time, via at least one of a personal computing device, a networkable media playback and transmission device, or a mobile cellular device operative to navigate the Internet. Generating content offerings, which are automatically captured by the user. The method of claim 1,
Aggregating the user-specific database catalogs of user activity information may include location information, frequency of activity information, transaction information, time and date information, social network designation information, recommendation rating information, or a shared database catalog environment. Sorting the user-specific database catalogs for the set of users based on at least one of the other user attributes. A system for generating content offerings from a shared database of user activity,
The system comprises:
A communication interface to a collection of users; And
A processor in communication with the collection of users via the communication interface,
The processor comprising:
Capture a user-specific database catalog of user activity information for each user in the set of users, each of the user-specific database catalogs of user activity information in the set being one or more of services and products traded by an associated user And commercial information characterizing one or more of the services and products of interest to the associated user;
Collect user-specific database catalogs of user activity information for a collection of users into a database;
Belonging to at least one user group in the set of users, from the aggregated user-specific database catalogs, in response to designation of one or more keywords characterizing a product or service from a first user with a user-initiated keyword search. Selectively extract user activity information matching the one or more keywords from the commercial information of one or more of the user-specific database catalogs of one or more other users; And
And convert the selectively extracted user activity information into a product or service recommendation for delivery to the first user. The method of claim 7, wherein
The transformation may be based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. Generating system. The method of claim 7, wherein
Wherein the first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. The method of claim 7, wherein
Wherein the user activity information comprises at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. The method of claim 7, wherein
The user activity information captured within the user-specific database catalogs is automatically at least substantially real time, via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operative to navigate the Internet. A system for generating content offerings that is captured. The method of claim 7, wherein
Aggregating user-specific database catalogs of user activity information may be based on the set of users based on location information, frequency of activity information, transaction information, time and date information, social network specific information, or recommendation rating information. And sorting the user-specific database catalogs for the system. A system for generating content offerings from a shared database of user activity,
The system comprises:
Means for interfacing with a set of users; And
Means for processing data, in communication with the set of users via the means for interfacing,
The means for processing,
Capture a user-specific database catalog of user activity information for each user in the set of users, each of the user-specific database catalogs of user activity information in the set being one or more of services and products traded by an associated user And commercial information characterizing one or more of the services and products of interest to the associated user;
Collect user-specific database catalogs of user activity information for a collection of users into a database;
One belonging to at least one user group in the collection of users, from the aggregated user-specific database catalog, in response to designation of one or more keywords characterizing a product or service from a first user with a user-initiated keyword search Selectively extract user activity information matching the one or more keywords from the commercial information of one or more of the user-specific database catalogs of one or more other users; And
And convert the selectively extracted user activity information into a product or service recommendation for delivery to the first user. The method of claim 13,
The transformation may be based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. Generating system. The method of claim 13,
Wherein the first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. The method of claim 13,
The user activity information captured within the user-specific database catalogs includes content offerings, including at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. Generating system. The method of claim 13,
The user activity information captured within the user-specific database catalogs is automatically at least substantially real time, via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operative to navigate the Internet. A system for generating content offerings that is captured. The method of claim 13,
Aggregating user-specific database catalogs of user activity is based on the location information, frequency of activity information, transaction information, time and date information, social network designation information, or recommendation rating information. A system for creating content offerings comprising sorting user-specific database catalogs. As a computer readable medium,
At least one instruction for causing a computer to capture a user-specific database catalog of user activity information for each user in a collection of users, wherein each user-specific database catalog of user activity information in the collection is traded by an associated user At least one instruction for capturing one or more of the listed services and products or including commercial information characterizing one or more of the services and products of interest to the associated user;
At least one instruction for causing the computer to collect user-specific database catalogs of user activity information for the collection of users in a database;
At least one in the set of users from the aggregated user-specific database catalogs, in response to designation of one or more keywords that characterize a product or service from a first user with a user-initiated keyword search. At least one instruction for selectively extracting user activity information matching the one or more keywords from the commercial information of one or more user-specific database catalogs of one or more other users belonging to the user group of; And
At least one instruction for causing the computer to convert the selectively extracted user activity information into a product or service recommendation for delivery to the first user. The method of claim 19,
The at least one instruction for causing the computer to convert is
Based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user, causing the computer to: At least one instruction for transforming the extracted user activity information for delivery to a user. The method of claim 19,
The first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. The method of claim 19,
The user activity information captured within the user-specific database catalogs includes at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. . The method of claim 19,
The user activity information captured within the user-specific database catalogs is automatically at least substantially real time, via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operative to navigate the Internet. A computer readable medium captured. The method of claim 19,
At least one instruction for causing the computer to assemble user-specific database catalogs of user activity information,
Cause the computer to sort the user-specific database catalogs for the set of users based on location information, frequency of activity information, transaction information, time and date information, social network specific information, or recommendation rating information. And at least one instruction to do so. A method for selectively distributing content offerings from a shared database of user activity on a device, the method comprising:
Capturing a user-specific database catalog of user activity information for a first user of the device;
Communicating a user-specific database catalog of user activity information for the first user of the device to the database for aggregation with a collection of user-specific database catalogs of user activity information for a set of users in a database. Each of the user-specific database catalogs of user activity information in the collection may feature one or more of the services and products traded by the associated user or may feature one or more of the services and products of interest to the associated user. Communicating the communication information comprising commercial information; And
One or more of the one or more other users belonging to at least one user group in the set of users, in response to designation of one or more keywords that characterize the product or service from the first user with a user-initiated keyword search -Selectively access to the first user from the commercial information in the set of user-specific database catalogs from specific database catalogs a product or service recommendation based on user activity information matching the one or more keywords. And initiating the content offerings. The method of claim 25,
The selective access is based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. 1) converting the accessed product or service recommendation for delivery to a user. The method of claim 25,
And wherein the first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. The method of claim 25,
The user activity information in the collection of user-specific database catalogs optionally includes content offerings, including at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. How to dispense. The method of claim 25,
Capturing the user-specific database catalog of user activity information may comprise at least substantially real time the user via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operative to navigate the Internet. And automatically capturing activity information. The method of claim 25,
The selective access may comprise performing a keyword search match through a set of content providers, platform providers, search providers, database repositories or other data repositories, or based on device configuration parameters and user attributes. And at least one of adjusting a content stream associated with the commercial information. As a device,
The device comprising:
A communication interface to a database; And
A processor in communication with the database via the communication interface,
The processor comprising:
Capture a user-specific database catalog of user activity information for a first user of the device;
Communicate a user-specific database catalog of user activity information for the first user of the device to the database for aggregation with a collection of user-specific database catalogs of user activity information for a collection of users in the database; Each of the user-specific database catalogs of user activity information in the collection may characterize one or more of the services and products traded by an associated user or characterize one or more of the services and products of interest to the associated user. Includes commercial information; And
One or more of the one or more other users belonging to at least one user group in the set of users, in response to designation of one or more keywords that characterize the product or service from the first user with a user-initiated keyword search -By said first user, selective access to a product or service recommendation based on user activity information matching said one or more keywords from said commercial information in a collection of user-specific database catalogs from particular database catalogs; A device configured to initiate. 32. The method of claim 31,
The selective access is based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. Converting the product or service recommendation accessed for delivery to a user. 32. The method of claim 31,
And the first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. 32. The method of claim 31,
The user activity information in the set of user-specific database catalogs includes at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. 32. The method of claim 31,
Capturing the user-specific database catalog of user activity information comprises at least substantially real time user activity via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operative to navigate the Internet. A device comprising auto capturing information. 32. The method of claim 31,
The selective access includes at least one of performing a keyword search match through a collection of content service providers, or adjusting a content stream associated with the commercial information based on device configuration parameters. As a device,
The device comprising:
Means for interfacing to a database; And
Means for processing data, in communication with the database via the interfacing means,
Means for processing the data,
Capture a user-specific database catalog of user activity information for a first user of the device;
Communicate a user-specific database catalog of user activity information for the first user of the device to the database for aggregation with a collection of user-specific database catalogs of user activity information for a collection of users in the database; Each of the user-specific database catalogs of user activity information in the collection may characterize one or more of the services and products traded by an associated user or characterize one or more of the services and products of interest to the associated user. Includes commercial information; And
One or more users of one or more other users belonging to at least one user group in the set of users, in response to designation of one or more keywords that characterize a product or service from the first user with a user-initiated keyword search; Initiate selective access by the first user to a product or service recommendation based on user activity information matching the one or more keywords from the commercial information in the collection of user-specific database catalogs from particular database catalogs Device, configured to. 39. The method of claim 37,
The selective access is based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. Converting the product or service recommendation accessed for delivery to a user. 39. The method of claim 37,
And the first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. 39. The method of claim 37,
The user activity information in the set of user-specific database catalogs includes at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. 39. The method of claim 37,
Capturing the user-specific database catalog of user activity information is at least substantially real time user activity information, via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operative to navigate the Internet. And automatically capturing the device. 39. The method of claim 37,
The selective access includes at least one of performing a keyword search match through a collection of content service providers, or adjusting a content stream associated with the commercial information based on device configuration parameters. As a computer readable medium,
At least one instruction for causing a computer to capture a user-specific database catalog of user activity information for a first user of the device;
Allow the computer to aggregate the user-specific database catalog of user activity information for the first user of the device with a collection of user-specific database catalogs of user activity information for a collection of users in a database. At least one instruction for communicating to a database, wherein each user-specific database catalog of user activity information in the collection is characterized by one or more of the services and products traded by the associated user or by which the associated user is interested. At least one instruction for communicating, comprising commercial information characterizing one or more of the products and products; And
One or more other users belonging to at least one user group in the set of users, in response to the computer specifying a one or more keywords that characterize a product or service from the first user with a user-initiated keyword search. Selective access to product or service recommendations based on user activity information matching the one or more keywords from the commercial information in the set of user-specific database catalogs from one or more of the user-specific database catalogs And at least one instruction to be initiated by the first user. 44. The method of claim 43,
The selective access is based on at least one of service operator data for the first user, device and client platform data for the first user, or device configuration data for the first user. Converting the accessed product or service recommendation for delivery to a user. 44. The method of claim 43,
The first user is at least one of a mobile device user, a networkable media playback device user, or a personal computer user operating a personal computer to navigate the Internet. 44. The method of claim 43,
The user activity information in the collection of user-specific database catalogs includes at least one of transaction activity, user service experience information, user content consumption information, user location information, user recommendation information, or other user activity information. Readable Media. 44. The method of claim 43,
The computer,
At least one command for capturing a user-specific database catalog of user activity information is:
At least one instruction for causing the computer to automatically capture user activity information at least substantially in real time, via at least one of a personal computing device, a networkable media playback device, or a mobile cellular device operable to navigate the Internet. A computer readable medium comprising. 44. The method of claim 43,
The selective access includes at least one of performing a keyword search match through a collection of content service providers, or adjusting a content stream associated with the commercial information based on device configuration parameters. media. A method of generating context-sensitive content offerings from a shared database of user activity, the method comprising:
Capturing a user-specific database catalog of user activity information for each user in the set of users, wherein each user-specific database catalog of user activity information in the set is one of services and products traded by an associated user Capturing, the commercial information characterizing an anomaly or comprising one or more of the services and products of interest to the associated user;
Aggregating user-specific database catalogs of user activity information for the collection of users in a database;
Receiving context-dependent information associated with network usage or location of the first user, or other user characteristic;
From the aggregated user-specific database catalogs based on the context-dependent information, for one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users; Selectively extracting, from commercial information, user activity information that matches a one or more keywords specified by the first user with a user-initiated keyword search and that characterizes a product or service; And
Converting the selectively extracted user activity information into a product or service recommendation for delivery to the first user. The method of claim 49,
Wherein said selectively extracting comprises: said user-specific database catalog in said aggregated user-specific database catalogs activated by a use of a connection to a site associated with a user-specific database catalog of user activity information for said first user; Providing a context-dependent selectable menu of the context-sensitive content offerings. The method of claim 49,
The user activity information captured within the user-specific database catalogs includes at least one of transaction activity, user service experience information, user content consumption information, user location information, or user recommendation information. How to create offerings. A system for generating context-sensitive content offerings from a shared database of user activity,
A communication interface to a collection of users; And
A processor in communication with the collection of users via the communication interface,
The processor comprising:
Capture a user-specific database catalog of user activity information for each user in the set of users, each of the user-specific database catalogs of user activity information in the set being one or more of services and products traded by an associated user And commercial information characterizing one or more of the services and products of interest to the associated user;
Collect user-specific database catalogs of user activity information for a collection of users into a database;
Receive context-dependent information associated with a network usage or location of the first user;
From the aggregated user-specific database catalogs based on the context-dependent information, the commercial for one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users Selectively extract, from information, user activity information characterizing a product or service and matching one or more keywords specified by the first user with a user-initiated keyword search; And
And convert the selectively extracted user activity information into a product or service recommendation for delivery to the first user. 53. The method of claim 52,
And wherein said selectively extracting of said user-specific database catalogs in said aggregated user-specific database catalogs activated by use of a connection to a site associated with a user-specific database catalog of user activity information for said first user. A system for creating context-sensitive content offerings comprising providing a context-dependent selectable menu. A system for generating context-sensitive content offerings from a shared database of user activity,
Means for interfacing with a set of users; And
Means for processing data, in communication with the set of users via the means for interfacing,
Means for processing the data,
Capture a user-specific database catalog of user activity information for each user in the set of users, each of the user-specific database catalogs of user activity information in the set being one or more of services and products traded by an associated user And commercial information characterizing one or more of the services and products of interest to the associated user;
Collect user-specific database catalogs of user activity information for a collection of users into a database;
Receive context-dependent information associated with a network usage or location of the first user;
From the aggregated user-specific database catalogs based on the context-dependent information, the commercial for one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users Selectively extract, from information, user activity information characterizing a product or service and matching one or more keywords specified by the first user with a user-initiated keyword search; And
And convert the selectively extracted user activity information into a product or service recommendation for delivery to the first user. 55. The method of claim 54,
The selectively extracting may include: situation of user-specific database catalogs in the aggregated user-specific database catalogs activated by use of a connection to a site associated with a user-specific database catalog of user activity for the first user. A system for creating context-sensitive content offerings, comprising providing a dependent selectable menu. As a computer readable medium,
At least one instruction for causing a computer to capture a user-specific database catalog of user activity information for each user in a collection of users, wherein each user-specific database catalog of user activity information in the collection is traded by an associated user At least one instruction for capturing one or more of the listed services and products or including commercial information characterizing one or more of the services and products of interest to the associated user;
At least one instruction for causing the computer to aggregate user-specific database catalogs of user activity information for a collection of users into a database;
At least one instruction for causing the computer to receive context-dependent information associated with a network usage or location of a first user;
Cause the computer to generate, from the aggregated user-specific database catalogs based on the context-dependent information, one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users; At least one instruction for selectively extracting user activity information characterizing a product or service and matching one or more keywords specified by the first user with a user-initiated keyword search from the commercial information for the business information; And
At least one instruction for causing the computer to convert the selectively extracted user activity information into a product or service recommendation for delivery to the first user. 57. The method of claim 56,
At least one instruction that causes the computer to selectively extract is:
Cause the computer to have user-specific database catalogs in the aggregated user-specific database catalogs activated by use of a connection to a site or client location associated with a user-specific database catalog of user activity information for the first user; At least one instruction for providing a context-dependent selectable menu thereof. A method of generating context-sensitive content offerings on a device from a shared database of user activity, the method comprising:
Capturing a user-specific database catalog of user activity information for a first user of the device;
Communicating a user-specific database catalog of user activity information for the first user of the device to the database for aggregation with a collection of user-specific database catalogs of user activity information for a set of users in a database. Each of the user-specific database catalogs of user activity information in the collection may feature one or more of the services and products traded by an associated user or may feature one or more of the services and products of interest to the associated user. Communicating the communication information comprising commercial information;
Receiving context-dependent information associated with network usage or location determination of the first user; And
The commercial information for one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users, from the set of user-specific database catalogs based on the context-dependent information Selectively extract user activity information from the user-initiated keyword search with the one or more keywords specified by the first user and characterizing the product or service, and directed to the first user. Using the selectively extracted user activity information to generate a service recommendation. 59. The method of claim 58,
And the context-dependent information includes at least one of network navigation information or user location information for the first user. A device configured to generate context-sensitive content offerings from a shared database of user activity, the device comprising:
The device comprising:
A communication interface to a database; And
A processor in communication with the database via the communication interface,
The processor comprising:
Capture a user-specific database catalog of user activity information for a first user of the device;
Communicate a user-specific database catalog of user activity information for the first user of the device to the database for aggregation with a collection of user-specific database catalogs of user activity information for a collection of users in a database, Each user-specific database catalog of user activity information in the collection may be characterized by one or more of the services and products traded by the associated user or by one or more of the services and products of interest to the associated user. Includes information;
Receive context-dependent information associated with network usage or location determination of the first user; And
The commercial information for one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users, from the set of user-specific database catalogs based on the context-dependent information Selectively extract user activity information from the user-initiated keyword search with the one or more keywords specified by the first user and characterizing the product or service, and directed to the first user. A device configured to generate context-sensitive content offerings from a shared database of user activity configured to use the selectively extracted user activity information to generate a service recommendation. 64. The method of claim 60,
And the context-dependent information includes at least one of network navigation information, or user location information for the first user, wherein the device is configured to generate context-sensitive content offerings from a shared database of user activity. A device configured to generate context-sensitive content offerings from a shared database of user activity, the device comprising:
The device comprising:
Means for interfacing to a database; And
Means for processing data, in communication with the database via the interfacing means,
Means for processing the data,
Capture a user-specific database catalog of user activity information for a first user of the device;
Communicate a user-specific database catalog of user activity information for the first user of the device to the database for aggregation with a collection of user-specific database catalogs of user activity information for a collection of users in a database, Each user-specific database catalog of user activity information in the collection may be characterized by one or more of the services and products traded by the associated user or by one or more of the services and products of interest to the associated user. Includes information;
Receive context-dependent information associated with network usage or location determination of the first user; And
The commercial information for one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users, from the set of user-specific database catalogs based on the context-dependent information Selectively extract user activity information from the user-initiated keyword search with the one or more keywords specified by the first user and characterizing the product or service, and directed to the first user. A device configured to generate context-sensitive content offerings from a shared database of user activity configured to use the selectively extracted user activity information to generate a service recommendation. 63. The method of claim 62,
And the context-dependent information includes at least one of network navigation information, or user location information for the first user, wherein the device is configured to generate context-sensitive content offerings from a shared database of user activity. As a computer readable medium,
At least one instruction for causing a computer to capture a user-specific database catalog of user activity information for a first user of the device;
Allow the computer to aggregate the user-specific database catalog of user activity information for the first user of the device with a collection of user-specific database catalogs of user activity information for a collection of users in a database. At least one instruction for communicating to a database, wherein each user-specific database catalog of user activity information in the collection is characterized by one or more of the services and products traded by the associated user or by which the associated user is interested. At least one instruction for communicating, comprising commercial information characterizing one or more of the products and products;
At least one instruction for causing the computer to receive context-dependent information associated with network usage or location of the first user; And
Cause the computer to generate, from the set of user-specific database catalogs based on the context-dependent information, one or more of the user-specific database catalogs of one or more other users belonging to at least one user group in the set of users; Selectively extract user activity information matching the one or more keywords specified by the first user with the user-initiated keyword search from the commercial information for and product or directed to the first user. At least one instruction for utilizing the selectively extracted user activity information to generate a service recommendation. 65. The method of claim 64,
The context-dependent information includes at least one of network navigation information, or user location information for the first user. The method of claim 1,
At least one user group in the set of users is imported or merged from a social network. The method of claim 49,
And the context-dependent information is associated with the network usage or location of the first user.

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